Publications of Viola Priesemann

Jens Wilting and Viola Priesemann, "Inferring collective dynamical states from widely unobserved systems," Nature Communications 9, 2325 (2018).

Viola Priesemann and O. Shriki, "Can a time varying external drive give rise to apparent criticality in neural systems?," PLOS Computational Biology 14 (5), e1006081 (2018).

M. Sogorski, Theo Geisel, and Viola Priesemann, "Correlated microtiming deviations in jazz and rock music," PLoS One 13 (1), e0186361 (2018).

Michael Wibral, C. Finn, P. Wollstadt, J. T. Lizier, and Viola Priesemann, "Quantifying information modification in developing neural networks via partial information decomposition," Entropy 19 (9), 494 (2017).

P. Wollstadt, K. K. Sellers, Lucas Rudelt, Viola Priesemann, A. Hutt, F. Fröhlich, and M. Wibral, "Breakdown of local information processing may underlie isoflurane anesthesia effects," PLoS Computational Biology 13 (6), e1005511 (2017).

B. Del Papa, V. Priesemann, and J. Triesch, "Criticality meets learning: Criticality signatures in a self-organizing recurrent neural network," PLoS One 12 (5), e0178683 (2017).

A. Levina and Viola Priesemann, "Subsampling scaling," Nature Communications 8, 15140 (2017).

Michael Wibral, Viola Priesemann, Jim W. Kay, Joseph T. Lizier, and William A. Phillips, "Partial information decomposition as a unified approach to the specification of neural goal functions," Brain and Cognition 112, 25-38 (2017).

M. Lenz, S. Platschek, Viola Priesemann, D. Becker, L. M. Willems, U. Ziemann, T. Deller, F. Müller-Dahlhaus, P. Jedlicka, and A. Vlachos, "Repetitive magnetic stimulation induces plasticity of excitatory postsynapses on proximal dendrites of cultured mouse CA1 pyramidal neurons," Brain Structure and Function 220 (6), 3323-3337 (2015).

J. Aru, J. Aru, Viola Priesemann, M. Wibral, L. Lana, G. Pipa, W. Singer, and R. Vicente, "Untangling cross-frequency coupling in neuroscience," Current Opinion in Neurobiology 31, 51-61 (2015).

Michael Wibral, Joseph T. Lizier, and Viola Priesemann, "Bits from brains for biologically-inspired computing," Frontiers in Robotics and AI 2, 5 (2015).

Maximilian Lenz, Steffen Platschek, Viola Priesemann, Denise Becker, Laurent M. Willems, Ulf Ziemann, Thomas Deller, Florian Müller-Dahlhaus, Peter Jedlicka, and Andreas Vlachos, "Repetitive magnetic stimulation induces plasticity of excitatory postsynapses on proximal dendrites of cultured mouse CA1 pyramidal neurons," Brain Structure and Function , 1-15 (2014).

Viola Priesemann, Michael Wibral, Mario Valderrama, Robert Pröpper, Michel Le Van Quyen, Theo Geisel, Jochen Triesch, Danko Nikolic, and Matthias H. J. Munk, "Spike avalanches in vivo suggest a driven, slightly subcritical brain state," Frontiers in Systems Neuroscience 8, 108 (2014).

Michael Wibral, Joseph Lizier, Sebastian Vögler, Viola Priesemann, and Ralf Galuske, "Local active information storage as a tool to understand distributed neural information processing," Frontiers in Neuroinformatics 8, 1 (2014).

Bruno Del Papa, Viola Priesemann, and Jochen Triesch, "Fading Memory, Plasticity, and Criticality in Recurrent Networks", in The Functional Role of Critical Dynamics in Neural Systems: Springer Series on Bio- and Neurosystems, edited by Nergis Tomen, J. Michael Herrmann, and Udo Ernst (Springer International Publishing, Cham, 2019), Vol. 11, pp. 95-115.

Viola Priesemann, Anna Levina, and Jens Wilting, "Assessing Criticality in Experiments", in The Functional Role of Critical Dynamics in Neural Systems, Springer Series on Bio- and Neurosystems, edited by N. Tomen, J. Herrmann, and U. Ernst (Springer, Cham, 2019), Vol. 11, pp. 199-232.

Michael Wibral, Joseph T. Lizier, and Viola Priesemann, "How to measure local active information storage in neural systems".

Franziska Funke, Linus Mattauch, Thorsten Merl, Hermine Mitter, Viola Priesemann, Leonie Wenz, and Anna Wiese, "Die Zukunft der Ernährung in Europa: Interdisziplinäre Perspektiven", (2023), pp. 11.

Abdullah Makkeh, Michael Wibral, Marcel Graetz, Andreas Christian Schneider, and Viola Priesemann, "Infomorphic Neurons: Locally learning pyramidal- inspired neurons derived from partial information decomposition", in arxiv, (2023).